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Open access 2026

Location-Aware Mixture-of-Experts Framework for Adaptive Speech Enhancement

Speech enhancement models often struggle to adapt to heterogeneous and ambiguous noise conditions. This paper proposes a location-aware mixture-of-experts framework that jointly uses acoustic observations and categorical location context for adaptive speech enhancement. A gating network estimates continuous expert weig...

D. Noh, S. Kim · 0 citations

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